Research Article
A Fast Hybrid Classification Algorithm with Feature Reduction for Medical Images
Table 2
Comparison of results for experiment 1 with different numbers of clusters (
).
| | Without feature selection | Thirteen features | Seven features | Precision | Recall | F1-measure | Precision | Recall | F1-measure | Precision | Recall | F1-measure |
| 3 | 0.77 | 0.74 | 0.70 | 0.73 | 0.80 | 0.76 | 0.73 | 0.79 | 0.76 | 4 | 0.77 | 0.79 | 0.77 | 0.81 | 0.82 | 0.83 | 0.87 | 0.88 | 0.89 | 5 | 0.74 | 0.74 | 0.74 | 0.85 | 0.84 | 0.86 | 0.95 | 0.96 | 0.95 | 6 | 0.76 | 0.76 | 0.76 | 0.87 | 0.84 | 0.87 | 0.93 | 0.91 | 0.93 | 7 | 0.73 | 0.73 | 0.73 | 0.84 | 0.86 | 0.85 | 0.94 | 0.95 | 0.94 | 8 | 0.79 | 0.70 | 0.79 | 0.81 | 0.82 | 0.81 | 0.93 | 0.94 | 0.93 |
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